{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6eec3ac4",
   "metadata": {},
   "source": [
    "# 什么是ipynb\n",
    "交互式python编程环境。支持同时写Markdown,和python语句。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "38d70ab9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello world!\n"
     ]
    }
   ],
   "source": [
    "print(\"hello world!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "769bc9a1",
   "metadata": {},
   "source": [
    "# 什么是Anaconda\n",
    "Anaconda是一个数据分析工具包，包含了python解释器，以及数据分析的常用库。默认有base环境，还可以新建环境进行库的隔离。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd660f94",
   "metadata": {},
   "source": [
    "# 什么是csv\n",
    "csv是一个纯文本类型的表格文件，类似于excel。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2595544e",
   "metadata": {},
   "source": [
    "# 数据分析的常用库\n",
    "- NumPy 科学计算库\n",
    "- Pandas 数据分析核心库，常处理表格数据\n",
    "- Matplotlib 数据分析绘图库\n",
    "- scikit-learn 机器学习库"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
